Multimodality 3D Tumor Segmentation in HCC Patients Treated with TACE

Zhijun Wang, Julius Chapiro, Rüdiger Schernthaner, Rafael Duran, Rongxin Chen, Jean François Geschwind, MingDe Lin

Research output: Contribution to journalArticle

Abstract

Rationale and Objectives: To validate the concordance of a semiautomated multimodality lesion segmentation technique between contrast-enhanced magnetic resonance imaging (CE-MRI), cone-beam computed tomography (CBCT), and multidetector CT (MDCT) in patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE). Materials and Methods: This retrospective analysis included 45 patients with unresectable HCC who underwent baseline CE-MRI within 1 month before the treatment, intraprocedural CBCT during conventional TACE, and MDCT within 24hours after TACE. Fourteen patients were excluded because of atypical lesion morphology, portal vein invasion, or small lesion size which precluded sufficient lesion visualization. Thirty-one patients with a total of 40 target lesions were included into the analysis. A tumor segmentation software, based on non-Euclidean geometry and theory of radial basis functions, was used to allow for the segmentation of target lesions in 3D on all three modalities. The algorithm created image-based masks located in a 3D region whose center and size were defined by the user, yielding the nomenclature "semiautomatic". On the basis of that, tumor volumes on all three modalities were calculated and compared using a linear regression model (R2 values). Residual plots were used to analyze drift and variance of the values. Results: The mean value of tumor volumes was 18.72±19.13cm3 (range, 0.41-59.16cm3) on CE-MRI, 21.26±21.99cm3 (range, 0.62-86.82cm3) on CBCT, and 19.88±20.88cm3 (range, 0.45-75.24cm3) on MDCT. The average volumes of the tumor were not significantly different between CE-MRI and DP-CBCT, DP-CBCT and MDCT, MDCT and CE-MRI (P=.577, .770, and .794, respectively). A strong correlation between volumes on CE-MRI and CBCT, CBCT and MDCT, MDCT and CE-MRI was observed (R2=0.974, 0.992 and 0.983, respectively). When plotting the residuals, no drift was observed for all methods showing deviations of no >10% of absolute volumes (in cm3). Conclusions: A semiautomated 3D segmentation of HCC lesions treated with TACE provides high volumetric concordance across all tested imaging modalities.

Original languageEnglish (US)
Pages (from-to)840-845
Number of pages6
JournalAcademic Radiology
Volume22
Issue number7
DOIs
StatePublished - Jul 1 2015

Fingerprint

Cone-Beam Computed Tomography
Hepatocellular Carcinoma
Magnetic Resonance Imaging
Tumor Burden
Neoplasms
Linear Models
Masks
Portal Vein
Terminology
Analysis of Variance
Software

Keywords

  • C-arm cone-beam CT
  • Hepatocellular carcinoma
  • MDCT
  • MRI
  • TACE
  • Tumor segmentation

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Wang, Z., Chapiro, J., Schernthaner, R., Duran, R., Chen, R., Geschwind, J. F., & Lin, M. (2015). Multimodality 3D Tumor Segmentation in HCC Patients Treated with TACE. Academic Radiology, 22(7), 840-845. https://doi.org/10.1016/j.acra.2015.03.001

Multimodality 3D Tumor Segmentation in HCC Patients Treated with TACE. / Wang, Zhijun; Chapiro, Julius; Schernthaner, Rüdiger; Duran, Rafael; Chen, Rongxin; Geschwind, Jean François; Lin, MingDe.

In: Academic Radiology, Vol. 22, No. 7, 01.07.2015, p. 840-845.

Research output: Contribution to journalArticle

Wang, Z, Chapiro, J, Schernthaner, R, Duran, R, Chen, R, Geschwind, JF & Lin, M 2015, 'Multimodality 3D Tumor Segmentation in HCC Patients Treated with TACE', Academic Radiology, vol. 22, no. 7, pp. 840-845. https://doi.org/10.1016/j.acra.2015.03.001
Wang Z, Chapiro J, Schernthaner R, Duran R, Chen R, Geschwind JF et al. Multimodality 3D Tumor Segmentation in HCC Patients Treated with TACE. Academic Radiology. 2015 Jul 1;22(7):840-845. https://doi.org/10.1016/j.acra.2015.03.001
Wang, Zhijun ; Chapiro, Julius ; Schernthaner, Rüdiger ; Duran, Rafael ; Chen, Rongxin ; Geschwind, Jean François ; Lin, MingDe. / Multimodality 3D Tumor Segmentation in HCC Patients Treated with TACE. In: Academic Radiology. 2015 ; Vol. 22, No. 7. pp. 840-845.
@article{657c311f121e4c83bb79eacc375ef7bd,
title = "Multimodality 3D Tumor Segmentation in HCC Patients Treated with TACE",
abstract = "Rationale and Objectives: To validate the concordance of a semiautomated multimodality lesion segmentation technique between contrast-enhanced magnetic resonance imaging (CE-MRI), cone-beam computed tomography (CBCT), and multidetector CT (MDCT) in patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE). Materials and Methods: This retrospective analysis included 45 patients with unresectable HCC who underwent baseline CE-MRI within 1 month before the treatment, intraprocedural CBCT during conventional TACE, and MDCT within 24hours after TACE. Fourteen patients were excluded because of atypical lesion morphology, portal vein invasion, or small lesion size which precluded sufficient lesion visualization. Thirty-one patients with a total of 40 target lesions were included into the analysis. A tumor segmentation software, based on non-Euclidean geometry and theory of radial basis functions, was used to allow for the segmentation of target lesions in 3D on all three modalities. The algorithm created image-based masks located in a 3D region whose center and size were defined by the user, yielding the nomenclature {"}semiautomatic{"}. On the basis of that, tumor volumes on all three modalities were calculated and compared using a linear regression model (R2 values). Residual plots were used to analyze drift and variance of the values. Results: The mean value of tumor volumes was 18.72±19.13cm3 (range, 0.41-59.16cm3) on CE-MRI, 21.26±21.99cm3 (range, 0.62-86.82cm3) on CBCT, and 19.88±20.88cm3 (range, 0.45-75.24cm3) on MDCT. The average volumes of the tumor were not significantly different between CE-MRI and DP-CBCT, DP-CBCT and MDCT, MDCT and CE-MRI (P=.577, .770, and .794, respectively). A strong correlation between volumes on CE-MRI and CBCT, CBCT and MDCT, MDCT and CE-MRI was observed (R2=0.974, 0.992 and 0.983, respectively). When plotting the residuals, no drift was observed for all methods showing deviations of no >10{\%} of absolute volumes (in cm3). Conclusions: A semiautomated 3D segmentation of HCC lesions treated with TACE provides high volumetric concordance across all tested imaging modalities.",
keywords = "C-arm cone-beam CT, Hepatocellular carcinoma, MDCT, MRI, TACE, Tumor segmentation",
author = "Zhijun Wang and Julius Chapiro and R{\"u}diger Schernthaner and Rafael Duran and Rongxin Chen and Geschwind, {Jean Fran{\cc}ois} and MingDe Lin",
year = "2015",
month = "7",
day = "1",
doi = "10.1016/j.acra.2015.03.001",
language = "English (US)",
volume = "22",
pages = "840--845",
journal = "Academic Radiology",
issn = "1076-6332",
publisher = "Elsevier USA",
number = "7",

}

TY - JOUR

T1 - Multimodality 3D Tumor Segmentation in HCC Patients Treated with TACE

AU - Wang, Zhijun

AU - Chapiro, Julius

AU - Schernthaner, Rüdiger

AU - Duran, Rafael

AU - Chen, Rongxin

AU - Geschwind, Jean François

AU - Lin, MingDe

PY - 2015/7/1

Y1 - 2015/7/1

N2 - Rationale and Objectives: To validate the concordance of a semiautomated multimodality lesion segmentation technique between contrast-enhanced magnetic resonance imaging (CE-MRI), cone-beam computed tomography (CBCT), and multidetector CT (MDCT) in patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE). Materials and Methods: This retrospective analysis included 45 patients with unresectable HCC who underwent baseline CE-MRI within 1 month before the treatment, intraprocedural CBCT during conventional TACE, and MDCT within 24hours after TACE. Fourteen patients were excluded because of atypical lesion morphology, portal vein invasion, or small lesion size which precluded sufficient lesion visualization. Thirty-one patients with a total of 40 target lesions were included into the analysis. A tumor segmentation software, based on non-Euclidean geometry and theory of radial basis functions, was used to allow for the segmentation of target lesions in 3D on all three modalities. The algorithm created image-based masks located in a 3D region whose center and size were defined by the user, yielding the nomenclature "semiautomatic". On the basis of that, tumor volumes on all three modalities were calculated and compared using a linear regression model (R2 values). Residual plots were used to analyze drift and variance of the values. Results: The mean value of tumor volumes was 18.72±19.13cm3 (range, 0.41-59.16cm3) on CE-MRI, 21.26±21.99cm3 (range, 0.62-86.82cm3) on CBCT, and 19.88±20.88cm3 (range, 0.45-75.24cm3) on MDCT. The average volumes of the tumor were not significantly different between CE-MRI and DP-CBCT, DP-CBCT and MDCT, MDCT and CE-MRI (P=.577, .770, and .794, respectively). A strong correlation between volumes on CE-MRI and CBCT, CBCT and MDCT, MDCT and CE-MRI was observed (R2=0.974, 0.992 and 0.983, respectively). When plotting the residuals, no drift was observed for all methods showing deviations of no >10% of absolute volumes (in cm3). Conclusions: A semiautomated 3D segmentation of HCC lesions treated with TACE provides high volumetric concordance across all tested imaging modalities.

AB - Rationale and Objectives: To validate the concordance of a semiautomated multimodality lesion segmentation technique between contrast-enhanced magnetic resonance imaging (CE-MRI), cone-beam computed tomography (CBCT), and multidetector CT (MDCT) in patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE). Materials and Methods: This retrospective analysis included 45 patients with unresectable HCC who underwent baseline CE-MRI within 1 month before the treatment, intraprocedural CBCT during conventional TACE, and MDCT within 24hours after TACE. Fourteen patients were excluded because of atypical lesion morphology, portal vein invasion, or small lesion size which precluded sufficient lesion visualization. Thirty-one patients with a total of 40 target lesions were included into the analysis. A tumor segmentation software, based on non-Euclidean geometry and theory of radial basis functions, was used to allow for the segmentation of target lesions in 3D on all three modalities. The algorithm created image-based masks located in a 3D region whose center and size were defined by the user, yielding the nomenclature "semiautomatic". On the basis of that, tumor volumes on all three modalities were calculated and compared using a linear regression model (R2 values). Residual plots were used to analyze drift and variance of the values. Results: The mean value of tumor volumes was 18.72±19.13cm3 (range, 0.41-59.16cm3) on CE-MRI, 21.26±21.99cm3 (range, 0.62-86.82cm3) on CBCT, and 19.88±20.88cm3 (range, 0.45-75.24cm3) on MDCT. The average volumes of the tumor were not significantly different between CE-MRI and DP-CBCT, DP-CBCT and MDCT, MDCT and CE-MRI (P=.577, .770, and .794, respectively). A strong correlation between volumes on CE-MRI and CBCT, CBCT and MDCT, MDCT and CE-MRI was observed (R2=0.974, 0.992 and 0.983, respectively). When plotting the residuals, no drift was observed for all methods showing deviations of no >10% of absolute volumes (in cm3). Conclusions: A semiautomated 3D segmentation of HCC lesions treated with TACE provides high volumetric concordance across all tested imaging modalities.

KW - C-arm cone-beam CT

KW - Hepatocellular carcinoma

KW - MDCT

KW - MRI

KW - TACE

KW - Tumor segmentation

UR - http://www.scopus.com/inward/record.url?scp=84930575583&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84930575583&partnerID=8YFLogxK

U2 - 10.1016/j.acra.2015.03.001

DO - 10.1016/j.acra.2015.03.001

M3 - Article

C2 - 25863795

AN - SCOPUS:84930575583

VL - 22

SP - 840

EP - 845

JO - Academic Radiology

JF - Academic Radiology

SN - 1076-6332

IS - 7

ER -